Abstract: In this paper, a novel quasi-dense matching algorithm through local neighborhood transfer is proposed for fish-eye images, characterized by severe projective distortions. A local affine model is used for the geometric transformation between two corresponding image patches. Patches are normalized with the known affine transformation before match propagation is applied to them. The local affine transformation is computed during the propagation by a new mechanism called neighborhood-transfer to ensure the propagation to be carried out in the correct neighborhood. Experiments with real fish-eye images show that our algorithm can provide satisfactory results.